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Staying Ahead with Advanced Analytics in Supply Chain Management

Logility

In an ever-evolving technological landscape, new potential explodes in the supply chain space daily. With improving machine learning and artificial intelligence capabilities, advanced analytics are shifting, becoming a more attractive option to leaders across industries. What Are Advanced Analytics?

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6 Ways AI Empowers End-to-End Decision Automation in Supply Chain

Logistics Viewpoints

Consequently, everyone asserts they are utilizing AI, and those in the supply chain world are no exception. How will it address “the world hunger problem” in supply chains, particularly in the context of supply chain planning? How can AI contribute to end-to-end decision automation?

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Do Digital Your Way. Sidestep the Supply Chain Conquistadors

Supply Chain Shaman

In a recent research project, we found that 2/3 of companies had a digital supply chain transformation strategy; however, those that were evolving their strategy performed better during the early months of the pandemic than those that were “clear” on the project plan for a digital transformation. Supply Chain 4.0.

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Supply Chain AI Strategy: Navigating Apparel Industry Complexities

Logility

Navigating the $5 trillion North American apparel market requires precision, especially when dealing with the intricate complexities of forecasting and inventory management. This approach is significant, especially considering a Deloitte survey that found 79% of companies with efficient supply chains see better revenue growth.

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The Role of Digitisation and Analytics in Supply Chain Resilience

The Logistics & Supply Chain Management Society

The Role of Digitisation and Analytics in Supply Chain Resilience. by Dr Shereen Nassar – Global Director of Logistics Studies and Supply Chain Management Programmes Heriot-Watt University Dubai. Digital Supply Chain to Drive Resilience.

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Will 2024 be the Year of Automation and AI in the Supply Chain?

Enterra Insights

Late last year, the staff at Digitate released the results of a survey entitled “AI and Automation: Laying the Foundation for the Autonomous Enterprise.” The survey found, “90% of IT decision-makers plan to deploy more automation, including AI, in the next 12 months.”[1] ”[1] These trends are not new.

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The Three Types of Supply Chain Analytics

The Smart Software

In this video blog, we explore the critical roles of Descriptive, Predictive, and Prescriptive Analytics in inventory management, highlighting their essential contributions to driving supply chain optimization through strategic foresight and insightful data analysis.